Development and Experimental Validation of a Supercapacitor Frequency Domain Model for Industrial Energy Applications Considering Dynamic Behaviour at High Frequencies

Gustavo Navarro, Jorge Nájera, Jorge Torres, Marcos Blanco, Miguel Santos and Marcos Lafoz
Additional contact information
Gustavo Navarro: CIEMAT, Government of Spain, 28040 Madrid, Spain
Jorge Nájera: CIEMAT, Government of Spain, 28040 Madrid, Spain
Jorge Torres: CIEMAT, Government of Spain, 28040 Madrid, Spain
Marcos Blanco: CIEMAT, Government of Spain, 28040 Madrid, Spain
Miguel Santos: CIEMAT, Government of Spain, 28040 Madrid, Spain
Marcos Lafoz: CIEMAT, Government of Spain, 28040 Madrid, Spain

Energies, 2020, vol. 13, issue 5, 1-18

Abstract: Supercapacitors, one of the most promising energy storage technologies for high power density industrial applications, exchange the energy mostly through power electronic converters, operating under high frequency components due to the commutation. The high frequency produces important effects on the performance of the supercapacitors in relation to their capacitance, inductance and internal resistance (ESR). These parameters are fundamental to evaluate the efficiency of this energy storage system. The aim of the paper is to obtain an accurate model of two supercapacitors connected in series (functional and extrapolated unit) to represent the frequency effects for a wide range of frequencies. The methodology is based on the definition of an appropriate equivalent electric circuit with voltage dependance, obtaining their parameters from experimental tests, carried out by means of electrochemical impedance spectroscopy (EIS) and the use of specific software tools such as EC-Lab ® and Statgraphics Centurion ® . The paper concludes with a model which reproduces with accuracy both the frequency response of the model BCAP3000 supercapacitors, provided by the manufacturer, and the experimental results obtained by the authors.

Keywords: supercapacitor; energy storage; modelling; frequency model; capacitance; ESR; experimental validation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/5/1156/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/5/1156/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:5:p:1156-:d:328139

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().